AXE 1 : AI and learning
– Examining methods for incorporating artificial intelligence into educational processes/
procedures.
– Examining the effects of AI on teaching practices and academic achievements.
– Evaluation of AI-driven education tools and their effectiveness in diverse educational
situations.
– Assessment of AI implementation in training systems
AXE 2 : AI and 21st century skills
– Identifying the essential skills required in AI and disruptive technologies.
– Assessing programs that incorporate AI to enhance the development of 21st-century skills in
education.
– The influence of AI
in shaping individuals with adaptable, creative, and collaborative skills.
AXE 3 : AI and task automation in academic institutions
– Analysis of specific areas where AI automation can be implemented effectively within
academic institutions.
– Examining the advantages and disadvantages of automating administrative and logistics tasks.
– Analysis of socio-economic implications of automation in an academic context.
AXE 4 : AI and the status of university actors
– A reflection on the part of professors, researchers, and university administrators in an AI-
influenced environment.
– An exploration of probable modifications in the duties and competencies demanded of
university actors.
– A reflection on the need to establish fresh, professional norms in response to the progression of
AI in higher education.
AXE 5 : AI and scientific research
The impact of AI on research methodology and data analysis.
– The potential of AI to accelerate scientific research processes.
– Analysis of the ethical challenges linked to AI implementation in scientific research and the
impact on result validity.
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